Evidence map›Paper›PMID 30883959›Full record

ArticleThe Milbank quarterly2019

Learning From History About Reducing Infant Mortality: Contrasting the Centrality of Structural Interventions to Early 20th-Century Successes in the United States to Their Neglect in Current Global Initiatives.

Amiya Bhatia, Nancy Krieger, S V Subramanian

Abstract readComparative StudyHistorical Article
In one paragraph

Article in The Milbank quarterly, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Amiya BhatiaHarvard T.H. Chan School of Public Health.
Nancy KriegerHarvard T.H. Chan School of Public Health.
S V SubramanianHarvard T.H. Chan School of Public Health.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Policy Points Current efforts to reduce infant mortality and improve infant health in low- and middle-income countries (LMICs) can benefit from awareness of the history of successful early 20th-century initiatives to reduce infant mortality in high-income countries, which occurred before widespread use of vaccination and medical technologies. Improvements in sanitation, civil registration, milk purification, and institutional structures to monitor and reduce infant mortality played a crucial role in the decline in infant mortality seen in the United States in the early 1900s. The commitment to sanitation and civil registration has not been fulfilled in many LMICs. Structural investments in sanitation and water purification as well as in civil registration systems should be central, not peripheral, to the goal of infant mortality reduction in LMICs. CONTEXT: Between 1915 and 1950, the infant mortality rate (IMR) in the United States declined from 100 to fewer than 30 deaths per 1,000 live births, prior to the widespread use of medical technologies and vaccination. In 2015 the IMR in low- and middle-income countries (LMICs) was 53.2 deaths per 1,000 live births, which is comparable to the United States in 1935 when IMR was 55.7 deaths per 1,000 live births. We contrast the role of public health institutions and interventions for IMR reduction in past versus present efforts to reduce infant mortality in LMICs to critically examine the current evidence base for reducing infant mortality and to propose ways in which lessons from history can inform efforts to address the current burden of infant mortality.

methodsWe searched the peer-reviewed and gray literature on the causes and explanations behind the decline in infant mortality in the United States between 1850 and 1950 and in LMICs after 2000. We included historical analyses, empirical research, policy documents, and global strategies. For each key source, we assessed the factors considered by their authors to be salient in reducing infant mortality.

findingsPublic health programs that played a central role in the decline in infant mortality in the United States in the early 1900s emphasized large structural interventions like filtering and chlorinating water supplies, building sanitation systems, developing the birth and death registration area, pasteurizing milk, and also educating mothers on infant care and hygiene. The creation of new institutions and policies for infant health additionally provided technical expertise, mobilized resources, and engaged women's groups and public health professionals. In contrast, contemporary literature and global policy documents on reducing infant mortality in LMICs have primarily focused on interventions at the individual, household, and health facility level, and on the widespread adoption of cheap, ostensibly accessible, and simple technologies, often at the cost of leaving the structural conditions that determine child survival largely untouched.

conclusionsCurrent discourses on infant mortality are not informed by lessons from history. Although structural interventions were central to the decline in infant mortality in the United States, current interventions in LMICs that receive the most global endorsement do not address these structural determinants of infant mortality. Using a historical lens to examine the continued problem of infant mortality in LMICs suggests that structural interventions, especially regarding sanitation and civil registration, should again become core to a public health approach to addressing infant mortality.

Indexed as

Infant MortalitySanitationWater PurificationBreast FeedingDeveloping CountriesHistory, 20th CenturyHumansInfantPublic Health PracticeUnited Statescivil registration and vital statistics (CRVS)historyinfant mortalitylow- and middle-income countriessanitation

Identifiers

PMID30883959
PMCPMC6422600

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.